While impressive progress has recently been made in image-oriented facia...
A key puzzle in search, ads, and recommendation is that the ranking mode...
Finding optimal configurations in a geometric space is a key challenge i...
Sequential incentive marketing is an important approach for online busin...
Assigning items to owners is a common problem found in various real-worl...
This report presents a brief description of our winning solution to the ...
We introduce a new efficient framework, the Unified Context Network (Uni...
Boundary based blackbox attack has been recognized as practical and
effe...
Combinatorial Optimization (CO) has been a long-standing challenging res...
Scheduling computational tasks represented by directed acyclic graphs (D...
Gradient estimation and vector space projection have been studied as two...
Lip reading, also known as visual speech recognition, aims to recognize ...
A key challenge in solving a combinatorial optimization problem is how t...
Several sampling algorithms with variance reduction have been proposed f...
We examine the submodular maximum coverage problem (SMCP), which is
rela...
Machine learning (ML), especially deep neural networks (DNNs) have been
...
Lip reading has received increasing attention in recent years. This pape...
Lip reading has received an increasing research interest in recent years...
Lip reading is the task of recognizing the speech content by analyzing
m...
Today text classification models have been widely used. However, these
c...
Lip-reading aims to infer the speech content from the lip movement seque...
Recent advances in deep learning have heightened interest among research...
With the rapid growth of financial services, fraud detection has been a ...
Mobile payment such as Alipay has been widely used in our daily lives. T...
Fraudulent claim detection is one of the greatest challenges the insuran...
Knapsack problems (KPs) are common in industry, but solving KPs is known...
Signet ring cell carcinoma is a type of rare adenocarcinoma with poor
pr...
Nuclear segmentation is important and frequently demanded for pathology ...
Large-scale datasets have successively proven their fundamental importan...
Visual speech recognition is the task to decode the speech content from ...